MicroRNAs Regulate Tumorigenesis by Downregulating SOCS3 Expression: An In silico Approach

Sura Al-Asadi; Hiba Mansour; Ahmed Jwaid Ataimish; Rusul Al-Kahachi; Jamila Rampurawala

doi:10.1177/11779322231193535

MicroRNAs Regulate Tumorigenesis by Downregulating SOCS3 Expression: An In silico Approach

Bioinform Biol Insights. 2023 Sep 9:17:11779322231193535. doi: 10.1177/11779322231193535. eCollection 2023.

Authors

Sura Al-Asadi¹, Hiba Mansour¹, Ahmed Jwaid Ataimish², Rusul Al-Kahachi³, Jamila Rampurawala⁴

Affiliations

¹ College of Health and Medical Techniques, Middle Technical University, Baghdad, Iraq.
² College of Pharmacy, Baghdad University, Baghdad, Iraq.
³ Department of Scholarships and Cultural Relationship, Republic of Iraq Ministry of Higher Education and Scientific Research, Baghdad, Iraq.
⁴ Oxford College of Science, Bangalore, India.

Abstract

Tumor microenvironment is characterized by the occurrence of significant changes due to disrupted signaling pathways that affect a broad spectrum of cellular activities such as proliferation, differentiation, signaling, invasiveness, migration, and apoptosis. Similarly, a downregulated suppressor of cytokine signaling 3 (SOCS3) promotes increased JAK/STAT function due to aberrant cytokine signaling, which results in increased cell proliferation, differentiation, and migration. Multiple carcinomas including breast cancer, prostate cancer, hepatocellular carcinoma, pancreatic cancer, and colorectal cancer involve the disruption of SOCS3 expression due to microRNA overexpression. MicroRNAs are small, conserved, and non-coding RNA molecules that regulate gene expression through post-transcriptional inhibition and mRNA destabilization. The aim of this study was to identify putative microRNAs that interact with SOCS3 and downregulate its expression. In this study, miRWalk, TargetScan, and miRDB were used to identify microRNAs that interact with SOCS3, whereas RNA22 was utilized to identify the binding sites of 238 significant microRNAs. The tertiary structures of shortlisted microRNAs and SOCS3 regions were predicted through MC Sym and RNAComposer, respectively. For molecular docking, HDOCK was used, which predicted 80 microRNA-messengerRNA complexes and the interactions of the top 5 shortlisted complexes were assessed. The complexes were shortlisted on the basis of least binding affinity score and maximum confidence score. This study identifies the interactions of known (miR-203a-5p) and novel (miR-6756-5p, miR-6732-5p, miR-1203, miR-6887-5p) microRNAs with SOCS3 regions due to their maximum interactions. Identifying the interactions of these microRNAs with SOCS3 will significantly advance the understanding of oncomiRs (miRNAs that are associated with cancer development) in tumor development due to their influence on SOCS3 expression. These insights will assist in future studies to understand the significance of miRNA-SOCS3-associated tumor development and progression.

Keywords: MiR-203a-5p; MicroRNAs; SOCS3; gene expression; in silico approach; tumor microenvironment.